Fei Cao

28 total papers · 1.1k total citations
22 papers, 846 citations indexed

About

Fei Cao is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fei Cao has authored 22 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 8 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fei Cao's work include Pain Mechanisms and Treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). Fei Cao is often cited by papers focused on Pain Mechanisms and Treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). Fei Cao collaborates with scholars based in China, United States and United Kingdom. Fei Cao's co-authors include Yuke Tian, Ya‐Qun Zhou, Dawei Ye, Xuehai Guan, Anne Manyande, Huilian Bu, Bingrui Xiong, Zhenpeng Song, Shuping Chen and Jia Sun and has published in prestigious journals such as Scientific Reports, Brain Research and Journal of Neurochemistry.

In The Last Decade

Fei Cao

21 papers receiving 835 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fei Cao 473 281 238 109 101 22 846
Hao Luo 576 1.2× 183 0.7× 250 1.1× 117 1.1× 81 0.8× 18 924
Yohji Fukazawa 539 1.1× 238 0.8× 403 1.7× 83 0.8× 76 0.8× 35 966
Xuehai Guan 415 0.9× 139 0.5× 195 0.8× 98 0.9× 84 0.8× 25 704
Fumihiro Saika 578 1.2× 244 0.9× 419 1.8× 73 0.7× 106 1.0× 35 1.0k
G C Wu 252 0.5× 216 0.8× 186 0.8× 68 0.6× 44 0.4× 35 849
Sascha R.A. Alles 424 0.9× 218 0.8× 247 1.0× 61 0.6× 66 0.7× 33 699
Ana Lastra 583 1.2× 232 0.8× 319 1.3× 110 1.0× 95 0.9× 27 897
Xueshu Tao 339 0.7× 234 0.8× 131 0.6× 87 0.8× 54 0.5× 23 784
Stephen J. Medhurst 605 1.3× 236 0.8× 253 1.1× 74 0.7× 72 0.7× 13 1.0k
Mathias Leinders 456 1.0× 162 0.6× 200 0.8× 96 0.9× 88 0.9× 11 751

Countries citing papers authored by Fei Cao

Since Specialization
Citations

This map shows the geographic impact of Fei Cao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fei Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Cao more than expected).

Fields of papers citing papers by Fei Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Cao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fei Cao. The network helps show where Fei Cao may publish in the future.

Co-authorship network of co-authors of Fei Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Cao. A scholar is included among the top collaborators of Fei Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fei Cao. Fei Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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